Products related to Approach:
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Public Policy Analysis : An Integrated Approach
Public Policy Analysis, the most widely cited book on the subject, provides students with a comprehensive methodology of policy analysis.It starts from the premise that policy analysis is an applied social science discipline designed for solving practical problems facing public and nonprofit organizations.This thoroughly revised sixth edition contains a number of important updates: Each chapter includes an all-new "big ideas" case study in policy analysis to stimulate student interest in timely and important problems. The dedicated chapter on evidence-based policy and the role of field experiments has been thoroughly rewritten and expanded. New sections on important developments in the field have been added, including using scientific evidence in public policymaking, systematic reviews, meta-analyses, and "big data." Data sets to apply analytical techniques are included online as IBM SPSS 23.0 files and are convertible to Excel, Stata, and R statistical software programs to suit a variety of course needs and teaching styles. All-new PowerPoint slides are included to make instructor preparation easier than ever before. Designed to prepare students from a variety of academic backgrounds to conduct policy analysis on their own, without requiring a background in microeconomics, Public Policy Analysis, Sixth Edition helps students develop the practical skills needed to communicate findings through memos, position papers, and other forms of structured analytical writing.The text engages students by challenging them to critically analyze the arguments of policy practitioners as well as political scientists, economists, and political philosophers.
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Geoarchaeology : The Earth-Science Approach to Archaeological Interpretation
An integrated approach to geoarchaeology, framing geologic concepts within an archaeological context—"probably the most comprehensive treatise on geoarchaeology yet written." (Vance Haynes, University of Arizona) An indispensable book for all professionals and students interested in the field of geoarchaeology, including those with limited earth-science experience, this new edition of Geoarchaeology builds on the success and innovation of the first edition and includes updates, new concepts and examples, an enhanced bibliography, and many new illustrations. The second edition begins by considering the history and theory of geoarchaeology. Rapp and Hill then move to discussions of soils and environmental interpretations; initial context and site formation; methods of discovery and spatial analyses; estimating time; paleoenvironments, landscapes, and the human past; identifying, analyzing, and sourcing raw materials; and construction, destruction, and conservation of sites and materials. "[This book] covers a wide range of topics . . . with clarity and balance. . . . [The] chapters are all well written and have concise introductory discussions that are not too detailed and not too brief. . . . Beautifully produced."—Michael Waters, Geoarchaeology: An International Journal (on the first edition)
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Understanding Regression Analysis : A Conditional Distribution Approach
Understanding Regression Analysis unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks, and decision trees under a common umbrella -- namely, the conditional distribution model.It explains why the conditional distribution model is the correct model, and it also explains (proves) why the assumptions of the classical regression model are wrong.Unlike other regression books, this one from the outset takes a realistic approach that all models are just approximations.Hence, the emphasis is to model Nature’s processes realistically, rather than to assume (incorrectly) that Nature works in particular, constrained ways. Key features of the book include: Numerous worked examples using the R software Key points and self-study questions displayed "just-in-time" within chapters Simple mathematical explanations ("baby proofs") of key concepts Clear explanations and applications of statistical significance (p-values), incorporating the American Statistical Association guidelines Use of "data-generating process" terminology rather than "population" Random-X framework is assumed throughout (the fixed-X case is presented as a special case of the random-X case) Clear explanations of probabilistic modelling, including likelihood-based methods Use of simulations throughout to explain concepts and to perform data analysesThis book has a strong orientation towards science in general, as well as chapter-review and self-study questions, so it can be used as a textbook for research-oriented students in the social, biological and medical, and physical and engineering sciences.As well, its mathematical emphasis makes it ideal for a text in mathematics and statistics courses.With its numerous worked examples, it is also ideally suited to be a reference book for all scientists.
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Understanding Regression Analysis : A Conditional Distribution Approach
Understanding Regression Analysis unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks, and decision trees under a common umbrella -- namely, the conditional distribution model.It explains why the conditional distribution model is the correct model, and it also explains (proves) why the assumptions of the classical regression model are wrong.Unlike other regression books, this one from the outset takes a realistic approach that all models are just approximations.Hence, the emphasis is to model Nature’s processes realistically, rather than to assume (incorrectly) that Nature works in particular, constrained ways. Key features of the book include: Numerous worked examples using the R software Key points and self-study questions displayed "just-in-time" within chapters Simple mathematical explanations ("baby proofs") of key concepts Clear explanations and applications of statistical significance (p-values), incorporating the American Statistical Association guidelines Use of "data-generating process" terminology rather than "population" Random-X framework is assumed throughout (the fixed-X case is presented as a special case of the random-X case) Clear explanations of probabilistic modelling, including likelihood-based methods Use of simulations throughout to explain concepts and to perform data analysesThis book has a strong orientation towards science in general, as well as chapter-review and self-study questions, so it can be used as a textbook for research-oriented students in the social, biological and medical, and physical and engineering sciences.As well, its mathematical emphasis makes it ideal for a text in mathematics and statistics courses.With its numerous worked examples, it is also ideally suited to be a reference book for all scientists.
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How does one approach a poem interpretation?
When approaching a poem interpretation, it is important to first read the poem multiple times to fully understand its content and structure. Pay attention to the language, imagery, tone, and themes used by the poet. Consider the historical and cultural context in which the poem was written, as well as the poet's background and intentions. Finally, analyze the poem's form and structure, such as rhyme scheme, meter, and stanza organization, to gain a deeper understanding of its meaning.
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How do you approach the interpretation of a poem?
When interpreting a poem, I first read it multiple times to fully grasp its content and structure. I pay attention to the language used, the imagery created, and the emotions evoked. I also consider the historical context, the poet's background, and any literary devices employed. Finally, I reflect on my own personal response to the poem and how it resonates with me.
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How does one approach the interpretation of a poem?
When approaching the interpretation of a poem, it is important to first read the poem multiple times to fully understand its content and structure. Pay attention to the language, imagery, and tone used by the poet. Consider the historical context, the poet's background, and any literary devices employed. It is also helpful to analyze the themes and emotions conveyed in the poem to uncover its deeper meaning. Ultimately, interpretation of a poem is subjective, so trust your instincts and personal response to the poem as well.
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What is the correct approach in mathematics for analysis?
The correct approach in mathematics for analysis involves breaking down complex problems into smaller, more manageable parts. This allows for a systematic examination of each component and its relationships to the whole. By carefully analyzing each part and understanding how they interact, one can derive insights and solutions to the overall problem. Additionally, it is important to use logical reasoning and rigorous methods to ensure the validity of the analysis and conclusions.
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Behavior Analysis and Learning : A Biobehavioral Approach
Using a behavioral perspective, Behavior Analysis and Learning provides an advanced introduction to the principles of behavior analysis and learned behaviors, covering a full range of principles from basic respondent and operant conditioning through applied behavior analysis into cultural design.The text uses Darwinian, neurophysiological, and biological theories and research to inform B.F. Skinner’s philosophy of radical behaviorism. The seventh edition expands the focus on neurophysiological mechanisms and their relation to the experimental analysis of behavior, providing updated studies and references to reflect current expansions and changes in the field of behavior analysis.By bringing together ideas from behavior analysis, neuroscience, epigenetics, and culture under a selectionist framework, the text facilitates understanding of behavior at environmental, genetic, neurophysiological, and sociocultural levels.This "grand synthesis" of behavior, neuroscience, and neurobiology roots behavior firmly in biology.The text includes special sections, "New Directions," "Focus On," "Note On," "On the Applied Side," and "Advanced Section," which enhance student learning and provide greater insight on specific topics.This edition was also updated for more inclusive language and representation of people and research across race, ethnicity, sexuality, gender identity, and neurodiversity.Behavior Analysis and Learning is a valuable resource for advanced undergraduate and graduate students in psychology or other behavior-based disciplines, especially behavioral neuroscience.The text is supported by a companion website that features a
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Qualitative Data Analysis Using a Dialogical Approach
In this important new text, Paul Sullivan introduces readers to a qualitative methodology rooted in the analysis of dialogue and subjectivity: the dialogical approach.Sullivan unpacks the theory behind a dialogical approach to qualitative research, and relates issues of philosophy and methodology to the practical process of actually doing qualitative research. Sullivan's book foregrounds the role of atmosphere, subjectivity and authorial reflection within texts.His work also enables the researcher to attend to the conflicts, judgments and interpretive activities that take place in language use.Practically speaking, the dialogical approach enables analysis of direct and indirect discourse, speech genres, hesitations, irony and a variety of other conditions that shape our understanding of dialogue in context. As well as exploring the theory behind this innovative method, Sullivan provides sound practical advice that recognises the everyday analytic needs of the reader. Topics include:• The theoretical foundations of the approach• The role of subjectivity in qualitative research• Data preparation and analysis• The future of the approachTheoretical discussion is consistently accompanied by research examples and suggestions as to how the dialogical approach could be used in the reader's own research.This important and timely book is ideal for any reader who wants to do research with dialogue and who is keen to attend to the full nuances and complexities of discourse.
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RNA-seq Data Analysis : A Practical Approach
The State of the Art in Transcriptome Analysis RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck.RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes. Balanced Coverage of Theory and Practice.Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples.Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of command-line tools, R, and other open source tools, such as the graphical Chipster software. The Tools and Methods to Get Started in Your Lab. Taking readers through the whole data analysis workflow, this self-contained guide provides a detailed overview of the main RNA-seq data analysis methods and explains how to use them in practice.It is suitable for researchers from a wide variety of backgrounds, including biology, medicine, genetics, and computer science.The book can also be used in a graduate or advanced undergraduate course.
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Forts and Roman Strategy : A New Approach and Interpretation
Paul Coby here proposes a new system for the recording and mapping of Roman forts and fortifications that integrates all the data, including size, dating and identification of occupying units. Application of these methods allows analysis that brings new insights into the placement of these forts, the units garrisoning them and the strategy of conquest and defence they underpinned.This is a new and original contribution to the long-running debate over whether the Roman Empire had a coherent grand strategy or merely reacted piecemeal to emerging needs.Although the author focusses on several major campaigns in Britain as case studies, the author stresses that his method's are also applicable to elsewhere in the Empire.Lavishly illustrated with colour maps, the book is also supported by a website and blogs, encouraging further investigation and discussion.
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What is the approach to logical thinking with numerical symbols?
The approach to logical thinking with numerical symbols involves using numbers and mathematical operations to analyze and solve problems. This approach requires understanding the relationships between numbers, identifying patterns, and applying logical reasoning to arrive at a solution. By breaking down complex problems into smaller, more manageable parts, individuals can use numerical symbols to make logical deductions and draw conclusions based on evidence and reasoning. This approach helps to develop critical thinking skills and improve problem-solving abilities in various fields such as mathematics, science, and engineering.
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What is subconscious knowledge in dreams?
Subconscious knowledge in dreams refers to the information, thoughts, and feelings that are stored in the subconscious mind and are brought to the surface during the dream state. This can include repressed memories, unresolved emotions, and hidden desires that may not be readily accessible in our waking consciousness. Dreams provide a window into our subconscious, allowing us to gain insight into our innermost thoughts and experiences. By analyzing our dreams, we can uncover and process this subconscious knowledge, leading to a better understanding of ourselves and our behaviors.
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How is the approach to the asymptote done in curve analysis?
In curve analysis, the approach to the asymptote is typically examined by observing the behavior of the curve as it gets closer and closer to the asymptote. This involves looking at the values of the function as it approaches infinity or negative infinity, depending on the type of asymptote. By analyzing the trend of the curve as it approaches the asymptote, one can determine if the curve intersects, approaches, or diverges from the asymptote. This information is crucial for understanding the overall behavior of the curve and its relationship to the asymptote.
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How could one approach picture book analysis in a different way?
One way to approach picture book analysis differently is to focus on the visual elements of the book, such as the use of color, composition, and perspective. Analyzing how these visual elements contribute to the overall message or theme of the book can provide a deeper understanding of the story. Additionally, considering the cultural or historical context in which the book was created can offer insights into the underlying meanings and messages within the illustrations. Finally, examining the relationship between the text and the illustrations, and how they work together to tell the story, can provide a more holistic analysis of the picture book.
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